CN102355855A - Bioinformation measurement device, bioinformation measurement method, and body composition measurement device - Google Patents
Bioinformation measurement device, bioinformation measurement method, and body composition measurement device Download PDFInfo
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- CN102355855A CN102355855A CN201080008684XA CN201080008684A CN102355855A CN 102355855 A CN102355855 A CN 102355855A CN 201080008684X A CN201080008684X A CN 201080008684XA CN 201080008684 A CN201080008684 A CN 201080008684A CN 102355855 A CN102355855 A CN 102355855A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4872—Body fat
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
Abstract
Body composition information is acquired with good accuracy using data acquired by another device. Disclosed is a body composition scale (100), which is equipped with a communication unit (111) that allows the input of anatomical component information (sectional area, site length, subcutaneous fat percentage, internal fat percentage, etc.) for a body measured by another device, such as an MRI (10), and which executes a step (S10), in which the body composition for the aforementioned body is calculated based on the aforementioned anatomical component information, the impedance detected by an impedance detector (120), and the body weight measured by a weight detector (133).
Description
Technical field
The present invention for example relates to biological information determinator, biological information assay method and the body component measuring device of the biological information that is used to obtain living body.
Background technology
The device of various mensuration biological informations has been proposed in the past.As this device of measuring biological information, for example, in the body component measuring device,, have through the impedance of instrumentation health and calculate the method that body becomes score value according to the difference of the electrical characteristics of fat and muscle as presuming method to body fat rate or subcutaneous fat rate etc.MRI (NMR-imaging) or the instrumentation data of CT (electronic computer x-ray tomography technology) scanning or DEXA (DEXA) etc. and the formula of inferring that the dependency relation between the resistance value is calculated the body composition according to the determined personnel of majority.
As this technology; For example proposed to utilize the specific formula of inferring to wait the technology of inferring health plasticity such as muscle quantities according to the measured value of impedance; This is specific, and to infer formula be to infer formula through what specific regression analysis made, and this specific regression analysis is based on the regression analysis (with reference to patent documentation 1) that the data of utilizing MRI to collect are in advance carried out
But, owing to how much there are differences according to the above-mentioned electrical characteristics of different people, thereby have the problem points that produces estimation error.The special problem points that exists for the big tendency of estimation error such as child or athlete change.
The prior art document
Patent documentation
Patent documentation 1: No. the 2002/43586th, International Publication.
Summary of the invention
The problem that invention will solve
The present invention makes in view of the above problems; Its purpose is; The data that provide a kind of utilization to obtain through other devices to obtain accurately biological information determinator, biological information assay method and the body component measuring device of biological information, and improve the satisfaction of user.
The means that are used to deal with problems
The present invention is a kind of biological information determinator, has: determination unit, and it obtains the measured value information of living body, arithmetic element, it calculates biological information based on the measured value information that said determination unit is obtained; This biological information determinator is characterised in that to have input block, the input of this input block utilize that other devices determine with the relevant living body constituent information of constituent of giving birth to body; Said arithmetic element is carried out following the processing: give birth to body constituent reflection calculation process, based on said living body constituent information and said measured value information, calculate said biological information.
NMR-imaging), CT (Computed Tomography: electronic computer x-ray tomography technology), DEXA (Dual Energy X-Ray Absorptiometry: the proper device that is used to obtain body composition constituent information DEXA) etc. said other devices can be MRI (Magnetic Resonance Imaging:.
The contact impedance that said living body constituent information can be the area of section, span access location length, subcutaneous fat rate, interior fat rate, skin or these a plurality of information etc. and the relevant suitable message of living body structure composition.
Can utilize the data that obtain through other devices to obtain accurately biological information according to the present invention.
In addition, the present invention can constitute, and is the body component measuring device that utilizes as said biological information determinator, and this body component measuring device is characterised in that, with impedance or the body weight of said measured value information as living body; With said biological information as the body composition.
Thus; Through observe in hospital etc., utilize MRI (Magnetic Resonance Imaging: NMR-imaging) or CT (Computed Tomography: electronic computer x-ray tomography technology) or DEXA (Dual Energy X-Ray Absorptiometry: DEXA) etc. body fat rate or the interior fat that determines and utilize the dependency relation between the resistance value that body composition meter determines, can the body composition be inferred algorithm and everyone and combine and be optimized.Thus, when utilizing resistance value putative aspect composition, certain errors is diminished, this certain errors is meant according to different people's electrical characteristics how much there are differences the error that causes.
In addition, under the situation of the contact impedance that utilizes skin, the contact impedance that can be utilized in the skin that hospital etc. determines comes the body composition that utilizes body composition meter to measure is revised.Therefore, can improve the precision of the body composition that utilizes body composition meter mensuration.
As mode of the present invention; Can constitute; Said arithmetic element is carried out following the processing: the impedance of the said living body that determines based on said living body constituent information and in the specified time limit of the mensuration date and time of this lifes body constituent information, and carry out the correction compute mode of obtaining the special-purpose correction compute mode of this lifes body and determine processing; Said living body constituent reflection computing utilizes said correction compute mode to carry out computing.
Thus, can prevent to utilize old living body constituent information to calculate the body composition.
In addition; As mode of the present invention, can constitute, have memory element; This memory element is used to store living body classified body composition compute mode, and this life body classified body composition compute mode is to classify according at least a above condition in height, age or the sex of giving birth to body; Said arithmetic element; If can obtain said living body constituent information, then carry out said living body constituent reflection calculation process, if can not obtain said living body constituent reflection calculation process; Then obtain at least a above information in height, age or the sex of said living body; And carry out common body composition calculation process, in this common body composition calculation process, utilize and the corresponding said living body classified body composition compute mode of this information that obtains is calculated the body composition.
Said living body classified body composition compute mode can constitute, and according to the constant difference that life bodies such as height, sex and age are classified and are used in the putative aspect composition, can utilize appropriate constant to calculate the mode of body composition according to impedance thus.
Thus, can automatically switch the following two kinds of mensuration of execution: utilize the high-precision body composition measurement of the living body constituent information of giving birth to body; Utilize the body composition measurement of the general usefulness of giving birth to body classified body composition compute mode.
In addition, as mode of the present invention, can constitute, also have the target information generation unit, this target information generation unit generates the target information relevant with the body composition based on said body composition information; Said target information generation unit is revised said target information based on said living body constituent information.
Thus, existing under the situation of giving birth to body constituent information, can make more appropriate target information.
In addition; As mode of the present invention; Can constitute, said arithmetic element changes based on measure the body composition of date and time till current from the mensuration date and time of said living body constituent information and this, changes and whether adopts said correction compute mode.
Thus; For example, if there is not the body composition to change the old living body constituent information of then also can successfully utilizing, opposite; Even sharply then can carry out the processing that new relatively living body constituent information is not also utilized if the body composition changes, can carry out the mensuration of more appropriate body composition thus.
In addition, the present invention can constitute, and has like lower unit, and measures biological information with this, and these unit are: determination unit, and it obtains the measured value information of living body, arithmetic element, it calculates biological information based on the measured value information that said determination unit is obtained; This biological information assay method is characterised in that, through input block, allows that input utilizes other devices living body constituent information relevant with constituent said living body that determine; Said arithmetic element is carried out following the processing: give birth to body constituent reflection calculation process, calculate said biological information based on said living body constituent information and said measured value information.
Thus, can utilize the data that obtain through other devices to obtain accurately biological information.
In addition; The present invention can constitute, and comprises the steps: to select step, shows to be used to select whether to import the selection picture that utilizes the living body constituent information that other devices determine; Determination step; Measure biological information, step display shows whether utilized said living body constituent information with the biological information that determines.
Thus, can make user confirm easily whether current mensuration result is the mensuration result who has reflected living body constituent information.
In addition; The present invention can constitute, and has: selected cell, its demonstration are used to select whether to import the selection picture of the living body constituent information of utilizing other device mensuration; Determination unit; It measures biological information, display unit, and it shows whether utilized said living body constituent information with the biological information that determines.
Thus, can make user confirm easily whether current mensuration result is the mensuration result who has reflected living body constituent information.
The invention effect
According to the present invention, can utilize the data that obtain through other devices to obtain accurately biological information, and can improve the satisfaction of user.
Description of drawings
Fig. 1 shows the axonometric chart of outward appearance of the weight and body composition meter of first embodiment.
Fig. 2 is the block diagram of the body weight control system of first embodiment.
Fig. 3 is the key diagram of structure that is used for explaining the various data that are stored in storage part of first embodiment.
Fig. 4 shows the key diagram of the structure that is presented at the picture on the display part of first embodiment.
Fig. 5 shows the key diagram of the structure that is presented at the picture on the display part of first embodiment.
Fig. 6 shows the flow chart of action of the calculating body composition of first embodiment.
Fig. 7 shows the flow chart of the action of obtaining target of first embodiment.
Fig. 8 shows the flow chart of the body composition measurement processing action of second embodiment.
Fig. 9 is the flow chart of the action that provides support of the health to the diet of limiting the quantity of (diet) of second embodiment.
Figure 10 is the flow chart of the action that provides support of the health to the anemia of pregnant woman of second embodiment.
Figure 11 shows the flow chart of action of the body composition meter of the 3rd embodiment.
Figure 12 is outward appearance and the key diagram of conduction model of the electronic clinical thermometer of the 4th embodiment.
The biological information that Figure 13 shows the 4th embodiment is obtained the block diagram of the system structure of system.
Figure 14 shows the flow chart of action of the electronic clinical thermometer of the 4th embodiment.
The specific embodiment
The present invention is the body composition meter that calculates the body composition of this life body through the impedance of measuring living body; And can carry out following processing: under the situation of measured data with external device (ED)s such as MRI devices; Can utilize this measured data to make the arithmetic expression of indivedual (one by one) of this life body and function; And, can come to calculate accurately the body composition according to the impedance of measuring afterwards through using discrete this arithmetic expression.
Below, with accompanying drawing an embodiment of the present invention is described.
First embodiment
Fig. 1 shows the axonometric chart of the outward appearance of weight and body composition meter 100, and Fig. 2 then shows the block diagram of being obtained the structure of system 101 by the weight and body composition meter 100 and the biological information that can constitute with the server 150 that this weight and body composition meter 100 communicates.
As shown in Figure 1; Weight and body composition meter 100 is that display operation portion 110 is that body weight determination portion 130 constitutes with second framework that is used for getting at the user station by being used for user with first framework of holding in hand mainly, also brings into play function as weighing machine when this weight and body composition meter 100 is brought into play function as body composition meter.
As shown in Figure 2, display operation portion 110 is provided with Department of Communication Force 111, storage part 112, timing portion 113, operating portion 114, display part 115, constant current circuit portion 116, power supply unit 117, control part 118, double integral (double integral) AD (analog/digital) portion 119, impedance detection portion 120 and electrode part 121.
Department of Communication Force 111 is connected with control part 118, and comes to communicate with server 150 according to the control signal of this control part 118.In addition, this Department of Communication Force 111 is not limited to communicate with server 150, can also constitute the structure that communicates with following device etc., and these devices are meant following proper device etc.: other biological information acquisition devices such as podometer; Personal computer or portable data assistance (PDA (Personal Digital Assistants: personal digital assistant) or mobile phone etc.).
Timing portion 113 (timing unit) is used for current date and time etc. is carried out the device of timing constantly, and as required the moment is sent to control part 118.
Constant current circuit portion 116 makes high frequency (interchange) electric current of being supplied with by power supply unit 117 flow to the electrode part 121 that electric current applies usefulness to single direction based on the control of control part 118.
Power supply unit 117 is supplied with the electric power that is used to move to each one that comprises control part 118.
Double integral AD portion 119 is AD (analog/digital) converter sections of double product typing, will become digital signal by the analog signal conversion that impedance detection portion 120 supplies with.
Body weight determination portion 130 is made up of operating portion 131, battery 132, load detection portion 133 and electrode part 136.
Department of Communication Force 151 carries out the transmission and the reception of data with weight and body composition meter 100 according to the control of control part 152.
Constitute biological information by weight and body composition meter that constitutes like this 100 and server 150 and obtain system 101.
Fig. 3 is the key diagram that is used for explaining the structure of the various data that are stored in storage part 112.
(A) part of Fig. 3 shows the data structure of general calculating with variable data 11.
Should generally calculate and constitute by five projects such as height, sex, age, body weight and impedances with variable data 11.
Height, sex and age are to utilize operating portion 114 through manually importing the variable of login in advance.
Body weight and impedance are respectively the variablees that at every turn utilizes load detection portion 133 and impedance detection portion 120 to determine.
(B) part of Fig. 3 shows the data structure of unique individual's private variable data 12.
These unique individual's private variable data 12 are made up of four projects such as the area of section, span access location length, body weight and impedances.
For the area of section and span access location length, the measured value that login in advance utilizes MRI (NMR-imaging) or DEXA (DEXA) etc. to determine.As long as login in advance is the method login below utilizing; These methods are meant following appropriate method etc.: receive data through Department of Communication Force 111 from external device (ED)s such as server 150 or MRI10 and login, or utilize operating portion 114 manually to import and login.
Body weight and impedance are respectively the variablees that at every turn utilizes load detection portion 133 and impedance detection portion 120 to determine.
(C) part of Fig. 3 shows general objectives and calculates the data structure with data 13.
This general objectives is calculated and is made up of body fat rate and body weight with data 13.
This body fat rate and body weight are the variablees of at every turn obtaining through mensuration, computing etc.
(D) part of Fig. 3 shows unique individual's target and calculates the data structure with data 14.
This unique individual's target is calculated and is made up of subcutaneous fat rate, interior fat rate, body fat rate and body weight with data 14.
For subcutaneous fat rate and interior fat rate, the measured value that login in advance utilizes MRI or DEXA etc. to determine.As long as login in advance is the method login below utilizing; These methods are meant following appropriate method etc.: receive data through Department of Communication Force 111 from external device (ED)s such as server 150 or MRI10 and login, or utilize operating portion 114 manually to import and login.
Body fat rate and body weight are the variablees of at every turn obtaining through mensuration, computing etc.
Then, to two kinds of operation methods below the calculation specification of body composition: the computing of unique individual's body composition; The computing of general body composition.
< the special-purpose arithmetic expression of unique individual >
For example, can utilize the special-purpose arithmetic expression of following unique individual to calculate unique individual's body composition.This arithmetic expression is to calculate the arithmetic expression of non-fat mass.
(formula A)
f(ρ)＝a
2·1/ρ+b
2·W+c
2·S+d
2·L+e
2
Wherein, a2～e2 is the constant of regulation, and ρ is a resistivity of utilizing the measured value of each body part to calculate, and W is a body weight, and S is the area of section of body part, and L then is the span access location length of body part.Can obtain area of section S and span access location length L according to unique individual's private variable data 12, can utilize load detection portion 133 to measure body weight W according to measuring the electricalresistivity by the 120 detected impedances of impedance detection portion.
This function f (ρ) of obtaining the body composition is the calculating formula with the measured data match (fitting) of the multinomial of electricalresistivity, body weight W, area of section S and body part L and MRI or DEXA etc.
In addition, for example, function f (ρ) also can be the above repeatedly square function of quadratic power.
In addition, can calculate body fat rate according to above-mentioned non-fat mass and body weight.
In addition, can utilize and the same calculating formula of this non-fat mass, calculate muscle quantities, body fat amount and bone amount etc. to each body part.
In addition, can utilize suitable calculating formula to calculate unique individual's body composition, for example can utilize following calculating formula to calculate non-fat mass.
(formula B)
f(ρ)＝a
1·1/ρ+b
1·W+c
1
Wherein, in above-mentioned formula, a1～c1 is the constant to the predefined regulation of each body part, and ρ is a resistivity of utilizing the measured value of each body part to calculate, and W then is a body weight.
Measured data based on MRI or DEXA etc. is modified to personal data with the constant a1～c1 in this calculating formula, can carry out computing accurately thus.
In addition, also can utilize above-mentioned formula A and, come further to obtain accurately the body composition both of the formula B of constant a1～c1 after revising.
< generally using arithmetic expression >
Can utilize generally and calculate general body composition with arithmetic expression.Should be generally can be that the value of setting according to height, age and sex is updated to the arithmetic expression among the constant a1～c1 of regulation of above-mentioned formula B with arithmetic expression.
Fig. 4 and Fig. 5 show the key diagram of the structure that is presented at the picture on the display part 115.
Fig. 4 (A) part show inquiry whether have measured data inquiry have or not the picture structure figure of measured data picture 21.
Inquiry has or not measured data picture 21 to have user's display part 31, information display section 32 and selector button 33.
User's display part 31 shows the user of operating (user).Show specified this user of method below utilizing; Appropriate method below these methods for example are meant etc.: the user who makes it possible to login predefined number; User is selected the identifying information (numbering or the Latin alphabet etc.) of oneself thus, or individually (one by one) input user name.
Fig. 4 (B) part show the current measured data that is receiving measured data of expression receive in the picture structure figure of picture 22.
The information display section 32 of this picture shows following information: " receiving measured data ".
Data quantities received display part 34 is shown as according to the process that receives data progress bar is extended from left to right, shows the degree of carrying out that receives data thus.
Fig. 4 (C) part shows the picture structure figure of the height input picture 23 that is used to import height.
Living body essential information input part 35 shows the input value of the living body essential information (height, age and sex) of utilizing 110 inputs of display operation portion.In this picture, show the height of being imported as giving birth to the body essential information.
Fig. 4 (D) part shows the picture structure figure of the age input picture 24 that is used to import the age.
In addition, in the living body essential information input part 35 of this picture, show the age of being imported as giving birth to the body essential information.
(E) part of Fig. 4 shows the picture structure figure that is used for other sex input picture 25 of Introduced cases.
In addition, in the selector button 33 of this picture, show " male " and two options such as " women ".
(A) part of Fig. 5 shows the unique individual who is used for showing the mensuration display frame as a result 40 (40A, 40B) of measuring the result measures the picture structure figure of display frame 40A as a result.
The unique individual measures as a result, and display frame 40A has computing classification display part 41 (41A, 41B), user's display part 42, body weight display part 43, non-fat mass display part 44 and body fat rate display part 45.
The unique individual's compute mode that shows computing classification display part 41 adopts sign 41A, and this unique individual's compute mode adopts sign 41A to be used to represent that current result displayed is unique individual's mensuration result.
User's display part 42 shows the user (user) that has carried out mensuration.This user with have or not measured data picture 21 grades in inquiry in the user that shows identical.
Body weight display part 43 shows the body weight that determines.
Non-fat mass display part 44 shows the non-fat mass that determines.Non-fat mass in this demonstration is a value of utilizing the special-purpose arithmetic expression of unique individual to calculate according to unique individual's private variable data 12.
Body fat rate display part 45 shows the body fat rate that determines.Be based on the value that above-mentioned non-fat mass and weighing machine are calculated at the body fat rate of this demonstration.
Fig. 5 (B) part shows at the general mensuration that is used for showing the mensuration display frame as a result 40 (40A, 40B) of measuring the result picture structure figure of display frame 40B as a result.
General mensuration display frame 40B as a result has computing classification display part 41 (41A, 41B), user's display part 42, body weight display part 43, non-fat mass display part 44 and body fat rate display part 45.
The general compute mode that shows computing classification display part 41 adopts sign 41B, and this general compute mode adopts sign 41B to be used to represent that current result displayed is to utilize the mensuration result of the calculating of general arithmetic expression.
User's display part 42 and body weight display part 43 are same as described above.
Non-fat mass display part 44 shows and utilizes the general value of calculating with variable data 11 according to general calculating with arithmetic expression, with as non-fat mass.
Body fat rate display part 45 shows the value of calculating based on above-mentioned non-fat mass and body weight, with as body fat rate.
Fig. 5 (C) part shows and is being used for showing the picture structure figure of unique individual's target display frame 50A of target display frame 50 (50A, 50B) of targets such as diet target of limiting the quantity of.
Unique individual's target display frame 50A has classification display part 51 (51A, 51B), user's display part 52, target display part 53 and information display section 54.
The unique individual's compute modes that show classification display part 51 adopt sign 51A, and this unique individual's compute mode adopts sign 51A to be used to represent that the target of current demonstration is a target of utilizing unique individual's arithmetic expression to calculate.
User's display part 52 shows the user (user) that calculates target.This user with have or not measured data picture 21 grades in inquiry in the user that shows identical.
The numerical value of target display part 53 concrete display-objects.In illustrated example, shown that how many percentage points body fat rate is reduced is information well.Calculate this numerical value with data 14 with the special-purpose mode of unique individual according to the calculating of unique individual's target.
Fig. 5 (D) part shows and is being used for showing the picture structure figure of general objectives display frame 50B of target display frame 50 (50A, 50B) of targets such as diet target of limiting the quantity of.
General objectives display frame 50B has classification display part 51 (51A, 51B), user's display part 52, target display part 53 and information display section 54.
The general compute mode that shows classification display part 51 adopts sign 51B, and this general compute mode adopts sign 51B to be used to represent that the target of current demonstration is a target of utilizing general arithmetic expression to calculate.
User's display part 52 is same as described above.
The control part 118 that Fig. 6 shows by weight and body composition meter 100 calculates the flow chart of the action of body composition.Can begin this action in the following moment; The suitable moment below these for example are meant constantly etc.: detect moment that user stood in upper cover part 135 as triggering (trigger) constantly by load detection portion 133, perhaps user utilizes the moment that the operation of operating portion 114 begins to detect.
If new user (step S2: " being "), then control part 118 shows that inquiry has or not measured data picture 21, and confirms to have or not measured value (step S3).At this, if select selector button 33 " being " then to be judged to be measured value (step S3: " being "), thus, control part 118 show measured datas receive in picture 22 and receive measured data (step S4).As long as receive this measured data from external device (ED)s such as server 150 or MRI10 through Department of Communication Force 111.
Can the measured data that control part 118 judgements are received use (step S5).As long as judge and to use according to whether being in mensuration day in the specified time limit of current date and time of the measured data that is received.
If can use (step S5: " being "), then control part 118 signs in to unique individual's private variable data 12 and unique individual's target with measured data and calculates with (step S6) in the data 14.Measured data in this login is the measured value that utilizes devices such as MRI or DEXA to determine of the area of section and span access location length or subcutaneous fat rate and interior fat rate etc.
Not having situation of measured value (step S3: " denying ") or measured value is under the situation of out of use value (step S5: " denying "); Control part 118 shows successively gives birth to body essential information input picture (23,24,25), requires user to login living body essential information (step S7) through manual input thus.At this, utilize the height, age, sex etc. of operating portion 114 input user to give birth to after the body essential informations, control part 118 with these information registration to general calculating with in the variable data 11.
The login of having accomplished measured data (step S6) or accomplished living body essential information login (step S7) or be not under new user's the situation (step S2: " deny "), control part 118 is carried out the processing (step S8) of mensuration body weight and impedance.Correctly stand at user and to carry out this mensuration under the state on the upper cover part 135.
Be judged to be (step S9: " being ") under the effective situation; Control part 118 utilizes the special-purpose arithmetic expression A of unique individual to calculate body composition (step S10) afterwards; The body composition that calculates is presented at the unique individual measures display frame 40A last (step S11) as a result, and end process.Show also that on the unique individual measures as a result display frame 40A unique individual's compute mode adopts sign 51A, this unique individual's compute mode adopts sign 51A to be used to represent to utilize unique individual's arithmetic expression.
Be judged to be (step S9: " denying ") under the invalid situation, control part 118 utilizes and generally calculates body composition (step S12) afterwards with arithmetic expression B, and the body composition that calculates is presented at general objectives display frame 50B goes up (step S13), and end process.Show also that on general objectives display frame 50B general compute mode adopts sign 51B, this general compute mode adopts sign 51B to be used to represent to utilize general arithmetic expression.
Fig. 7 shows the flow chart of being obtained the action of target by the control part 118 of weight and body composition meter 100.
If login has this measured value (step S21: " being "), then can control part 118 judgements use (step S22).According to whether being in the specified time limit of current date and time mensuration day of the measured data of logining, judging and to use.
If can use (step S22: " being "), then control part 118 utilizes the unique individual to calculate target (step S23) with calculating formula.The unique individual who calculates this target uses calculating formula; Body fat rate or the body weight utilizing prior subcutaneous fat rate of logining and interior fat rate or determine are used as particular variables; Thereby calculating desired value, said particular variables are meant that being defined as unique individual's target calculates the variable with data 14.
Can not use measured data (step S22: " denying ") perhaps not login under the situation of measured data (step S21: " denying "), control part 118 utilizes and generally calculates target (step S25) with calculating formula.Calculate the general of this target and can utilize the body fat rate or the body weight that determine to be used as particular variables with calculating formula, thereby calculate desired value, said particular variables is meant that being defined as general objectives calculates the variable with data 13.
According to above structure and action, can utilize the data that obtain through other devices (MRI10 etc.) to calculate accurately the body composition, and can improve the satisfaction of user.
When obtaining body compositions such as non-fat mass; Utilize the special-purpose arithmetic expression A of unique individual to calculate according to the measured data that calculates through MRI10 etc.; Thus, compare, can calculate with higher precision with having utilized the general computing of inferring with arithmetic expression B.
In addition; Owing to show that unique individual's compute modes adopt sign 41A or general compute mode to adopt sign 41B measuring display frame as a result 40, thereby can make user identify mensuration result that current mensuration result infers or the high-precision mensuration result who has utilized the measured data that determines through other devices with naked eyes.
In addition, owing to have or not measured data picture 21 to inquire whether to exist measured data through inquiry, thereby; If there is measured data; Then can login this measured data and come to calculate accurately the body composition,, then can utilize the general computing of inferring to calculate the body composition if there is not measured data.Therefore, user can suitably be selected high-precision computing and infer a kind of operation method in the computing.
In addition, can use owing to judge the measured data of login, and only under employable situation, calculate, although thereby can prevent to utilize measured data also to draw the situation of the result of calculation of low precision according to measured data.Thus, can be coming to carry out automatically computing in the computing that utilizes measured data and the mode of inferring the best in the computing, and, adopt sign 41A though can prevent to show unique individual's compute mode, measure situation such as result's the error of data is bigger.
In addition; When measured data is arranged; Owing to can receive the measured data that determines by other devices such as MRI10 and carry out high-precision computing, even thereby user do not login height, age and sex etc. and give birth to the body essential informations through manual work, also can measure the body composition accurately.Therefore, there is the user of measured data can stand on the upper cover part 135 of weight and body composition meter 100 and selects the user, and only through selecting have measured data to obtain high-precision mensuration result.That is, can get rid of loaded down with trivial details manual input service, and realize high convenience.
In addition, exist under the situation of measured data, can also carry out the calculating of target accurately.That is, according to the subcutaneous fat state of the how such body composition of interior fat how still, whether limit the quantity of the easily individual differences of diet etc. of existence.Utilize the measured data of other devices such as MRI10 can grasp the state of the body composition of such individual differences, and can set appropriate target and notify user according to the state of the body composition of this user.
In addition, adopted when utilizing measured data and to have judged and to use the structure of this measured data, be judged to be that the newness degree according to this measured data makes reflection degree various structure under the employable situation but also can be employed in.At this moment; As long as carry out following processing: be that mainly the newness degree of measured data is old more, then make and utilize the correction ratio of constant a1～c1 that formula B revises more little; When above, be set at the constant of utilization to prescribed limit old by the general usefulness of giving birth to the decision of body essential information.Thus, if the measured data of other devices wears, then can successfully divide a word with a hyphen at the end of a line thus bit by bit near the arithmetic expression of general usefulness to the arithmetic expression of general usefulness.
In addition, at this moment, also can be through the correction ratio being presented on the picture message that notice user measured data wears.Thus, user can utilize MRI10 etc. to measure renewal of carrying out measured data etc. once more.
Second embodiment
Then; A kind of weight and body composition meter to as second embodiment describes; This weight and body composition meter; According to the MRI through being arranged on medical facilities etc. (Magnetic Resonance Imaging: NMR-imaging) or CT (Computed Tomography: electronic computer x-ray tomography technology) or DEXA (Dual Energy X-Ray Absorptiometry: the data that DEXA) wait device to determine combine infer formula, body becomes score value and the diet of limiting the quantity of is inclined to the judgement etc. of body composition and are optimized with the individual.
In this second embodiment, utilize weight and body composition meter 100, server 150 and the biological information identical to obtain system 101 with the first above-mentioned embodiment.
In storage part 112, store detailed determination data, with the information that replaces in first embodiment, explaining.This detailed determination data can be by utilizing the precise information of being correlated with the body composition determine with weight and body composition meter 100 different devices to constitute, and the said precise information relevant with the body composition is to utilize information such as body fat rate that CT, MRI or DEXA etc. determine or visceral fat mass.
Program as among ROM that is stored in control part 118 (read only memory) etc. stores body composition measurement program.
About other structure, since identical with first embodiment, thereby omit its detailed explanation.
Fig. 8 shows the flow chart of being carried out the body composition measurement processing action of body composition measurement by control part 118 according to program.
(step S202: " being ") under the situation of detailed determination data arranged, control part 118 judge these detailed determination datas whether be in mensuration day from alloted days that current date begins with interior (step S203).
If alloted days with interior (step S203: " being "); The detailed determination data obtained of control part 118 utilizations then; Calculate the body composition that (inferring) go out to being based on the impedance that determines among the step S201 and revise, calculate the body that has carried out revising thus and become score value (step S204).
For example this moment the body obtained to become score value can be body fat rate, interior fat grade, muscle rate, basal metabolism or these a plurality of values, and can utilize known computational methods to calculate this body to become score value.In addition, enough revised bodies that utilizes for example following formula to obtain this moment become the score value ability.
(formula 2)
Revise the back body and become score value=α * detailed determination data+β * impedance body composition estimation data
Wherein α, β are weight coefficient
At this, the mensuration day that preferably α is set at detailed determination data more near the same day then the value of this α become big coefficient more.
In addition, be not limited to utilize above-mentioned formula 2, the formula A or the formula B that also can be utilized in first embodiment explanation calculate.
The situation that does not have detailed determination data (step S202: " denying ") or in detail determination data be to have begun to pass through (step S203: " deny ") under the data conditions more than alloted days from current, the resistance value that control part 118 bases obtain in step S201 calculates (inferring) body composition (step S206).
The result that control part 118 will be measured in step S204 or step S206 is presented at (step S205) on the display part 115, and end process.
Thus, if nearest detailed determination data is arranged, then can calculate and show and utilize the high-precision body of these data correction to become score value,, then can not revise and show that the body that calculates becomes score value if there is not nearest detailed determination data.
Fig. 9 is 152 pairs of the control parts of server 150 combine the action that the diet health of limiting the quantity of of (meeting everyone respectively) provides support respectively with everyone a flow chart.Should be to show the processing of noting existing disease risks etc. to processing that the health of the diet of limiting the quantity of provide support because of the diet of excessively limiting the quantity of etc.
Whether the BMI value (user BMI) that control part 152 is judged user (scope from-A to B) (step S224) in the BMI (being labeled as Data [i] .BMI) with i data (other people data) is the prescribed limit at center.For example, can carry out this judgement according to following formula.
(formula 3)
Data [i] .BMI-A＜user BMI＜Data [i] .BMI+B
Wherein Data [i] .BMI is the BMI of i data,
A, B are coefficient.
At this moment, if user BMI Data [i] .BMI from-A to the+B, just can be judged to be in prescribed limit.
Then, the control part 152 FAT value (user FAT) whether in the FAT (being labeled as Data [i] .FAT) with i data (other people data) is the prescribed limit at center (scope) (step S225) of judging user from-C to D.For example, can carry out this judgement according to following formula.
(formula 4)
Data [i] .FAT-C＜user FAT＜Data [i] .FAT+D
Wherein Data [i] .FAT is the FAT of i data,
C, D are coefficient.
At this moment, if user FAT Data [i] .FAT from-C to the+D, just can be judged to be in prescribed limit.
Then, control part 152 judge user disease resume degree promptly the disease resume degree of i data (other people data) (Data [i]. disease resume degree) whether be more than the threshold value (X) of regulation (step S226).This disease resume degree is set at serious disease and the number of times high more value of this value more at most.For example, can carry out this judgement according to following formula.
(formula 5)
Data [i]. disease resume degree＞X
Data [i] wherein. disease resume degree is i disease resume,
X is a threshold value.
All be under the situation of " being " in above-mentioned steps S224～S136, control part 152 calculates disease risks according to following formula.
(formula 6)
Disease risks=disease risks+α * Data [i]. the disease resume degree of disease resume degree+β data itself
Be judged to be (step S224: " denying " under the situation outside the prescribed limit in any step in step S224～step S226; S225: " denying "; S226: " denying "), do not carry out the differentiation of disease risks and get into next step.
152 pairs of variable i of control part are back to step S224 (step S228) with processing after adding 1, and repeat the processing (step S229) of above-mentioned step S224～S227.
Through this action, user can be known this situation when having disease risks.If become the high people of the approaching philtrum disease resume degree of score value many more having with the body of user; The disease risks that then calculates is also high more; Therefore, user can know how few the disease resume with the people that become score value with own similar body are, and can note disease.
In addition, in this embodiment, BMI and FAT are judged, but be not limited thereto, also can append the judgement of interior fat and the judgement of skeletal muscle rate.Judge through appending these, can compare with people and judge disease risks with more similar body composition.
Figure 10 is the flow chart that the control part 118 of weight and body composition meter 100 is used for the anemia of pregnant woman is provided the healthy action of supporting.
Near (step S243: " being ") under the situation of suitable body weight, control part 118 shows normal sign (step S244) on display part 115 in current body weight, and gets into the processing of step S245.
Keep off in current body weight under the situation of suitable body weight (step S243: " denying "), control part 118 judges that whether the absolute value of suitable body weight and the difference of current body weight is greater than the threshold X of stipulating (step S246).This threshold X can be thought the threshold value of parent or FD; Can come suitably to set through following establishing method; These establishing methods are following establishing methods etc.: the suggestion cause user of accepting the doctor is set, while perhaps observe setting under the state of state change regularly of parent the attending doctor.
Under the situation below the threshold X (step S246: " denying "), control part 118 shows care mark (step S247) a little on display part 115, and gets into the processing of step S245.
Under the situation greater than threshold X (step S246: " being "), control part 118 shows care mark (step S248) on display part 115, after getting in touch with hospital immediately (step S249), gets into the processing of step S245.As long as through user information and attention information are carried out the processing of this contact hospital to transmission data such as the terminal of predefined hospital or e-mail addresses.
Like above explanation; Obtain the unit as biological information; Body composition meter (weight and body composition meter 100) with impedance measuring unit (impedance detection portion 120) constitutes; Giving birth to body constituent information (related biological information) constitutes by utilizing the expression that determines with the method diverse ways of measuring impedance to give birth to the conjuncted composition information in pass of body body composition (body fat rate or the interior fat that are determined by MRI, CT, DEXA etc.); Revise based on the conjuncted composition information in said pass when amending unit (control part 118 of execution in step S204) is obtained living body body composition according to said impedance, said output unit (display part 115) is used to export the body composition information (body fat rate, interior fat grade, muscle rate, basal metabolism or these a plurality of information) as the said correction of revising back information.
Thus; Utilize body fat rate or the interior fat that MRI, CT, DEXA etc. determine and utilize the dependency relation between the resistance value that body composition meter determines through observing in hospital etc., can with the body composition infer algorithm combine with everyone (being consistent) get up to be optimized.Thus, when utilizing resistance value putative aspect composition, can reduce how much to there are differences the error that causes because of different people's electrical characteristics.
Especially, become child or the player of big tendency etc. for the estimation error that has the body composition, also can utilize resistance value with higher precision putative aspect composition.
In addition, provide support, under the many situation of the approaching people's of the value of body composition and user disease resume, can give user the high message informing of degree of the danger of disease through health to the diet of limiting the quantity of.Thus, user can know that the body composition of oneself is the easy state that gets disease, and can be with it as the opportunity of improving body constitution.In addition, in improving the process of body constitution, also can know the disease that is easy to get whether calmly condition improvement the value of body composition.
Especially,, also can know the probability of disease, and can carry out the body constitution inspection at oneself through access server 150 even weight and body composition meter 100 in the family is set.
In addition, provide support, can confirm that user is anemia of pregnant woman's body weight change through health to the anemia of pregnant woman, thus when parent or fetus are dangerous notice user and hospital.Thus, user can be found gestosis etc. in early days, thereby can improve the safety of childbirth.
Especially,, also can know the probability of gestosis etc. through access server 150 even weight and body composition meter 100 in the family is set, and can be in oneself the give a birth affirmation of stability.
The 3rd embodiment
Then; The 3rd embodiment is described; In the 3rd embodiment; For weight and body composition meter as one of biological information acquisition device, utilize the device be arranged in the medical facilities etc. to measure the contact impedance of skin, this weight and body composition meter comes the body composition that is determined by body composition meter is revised according to the contact impedance of this skin.
As everyone knows, in the past, the method for measuring body compositions such as (inferring) interior fat and subcutaneous fat through the impedance of measuring user was arranged.But,, therefore can produce small error because of the drying regime of the skin of user causes the contact impedance of skin different.
Relative therewith, the purpose of the weight and body composition meter of the 3rd embodiment is, according to the contact skin impedance as the measured data of utilizing other devices to determine, revises, and improves thus and measures precision.Below, carry out bright specifically with accompanying drawing.
In the 3rd embodiment, utilize weight and body composition meter 100, server 150 and the biological information identical to obtain system 101 with the first above-mentioned embodiment.
The user information that storage part 112 is explained in being stored in first embodiment, and the contact impedance of the skin that the other device of memory by using determines.
For other structure, since identical with first embodiment, thereby omit its detailed explanation.
The control part 118 that Figure 11 shows weight and body composition meter 100 is carried out the flow chart of action according to body composition measurement program.
Before utilizing weight and body composition meter 100, user be utilized in possess separately in the facilities such as hospital the contact impedance determinator measure the contact impedance data of skin.That is, be arranged on the contact impedance (step S110) that contact impedance determinator in the hospital etc. is measured user, and determination data is signed in to (step S111) in the server 150.At this moment, preferably also obtain the user information that is used for confirming user, and it is signed in in the server 150.Like this, on the basis of the contact impedance of measuring skin, user utilizes weight and body composition meter 100 to carry out the mensuration of body composition.
The control part 118 of weight and body composition meter 100 makes user pass through operating portion 114 and selects individual's numbering (step S101).
If there is not the contact impedance (step S102: " denying ") of skin, then control part 118 extracts contact impedance data (step S103) from server 150, and with this contact impedance data storage to storage part 112.
If the contact impedance (step S102: " being ") of skin is arranged, then control part 118 utilizes body weight determination portion 130 to carry out body weight determination (step S105), and utilizes impedance detection portion 120 to carry out body composition impedance measuring (step S106).
(formula 1)
Body composition resistance value-contact impedance value=body composition impedance true value (impedance correction value)
Like above explanation; Having impedance measuring unit (impedance detection portion 120) is used as biological information and obtains unitary body composition meter (weight and body composition meter 100) and constitute; Living body constituent information (related biological information) is made up of the contact impedance of skin, and amending unit (control part 118 of execution in step S107) comes the body composition information of giving birth to body is revised based on the contact impedance of skin.
Thus, can be utilized in the contact impedance of the skin that determines in the hospital etc., the body composition that utilizes weight and body composition meter 100 to determine is revised.Therefore, can improve the precision of the body composition that utilizes weight and body composition meter 100 mensuration.
That is,, utilizing electrode part 121,136, also can cause measuring the result and error occur because of the difference of the contact impedance of skin through in the method for impedance measuring body composition even the body composition is identical.Revise this error through the contact impedance that utilizes skin, can determine more high-precision body composition.
In addition, as long as in hospital etc., measure the contact impedance of skin separately, therefore, when after this measuring daily body composition, can utilize weight and body composition meter 100 easily to draw the mensuration result of high-precision body composition.
In addition, the contact impedance of skin is stored to the storage part 112 of weight and body composition meter 100, therefore, as long as storage does not once just need access server 150 can utilize yet.Therefore, the use of weight and body composition meter 100 becomes easily.
In addition, in above embodiment, the body composition measurement portion of the weight and body composition meter 100 of explanation is both hands both feet formulas, but is not limited thereto, and also can adopt the body composition meter of bi-manual or double-legged formula.At this moment, also can determine high-precision body composition according to contact impedance correction.
The 4th embodiment
Then, as the 4th embodiment, to coming the electronic clinical thermometer that the parameter in the body temperature computational algorithm is revised is described according to the subcutaneous fat instrumentation data of body composition meter.
In the past, the method as measuring the deep temperature of giving birth to body provided hydrargyrum formula clinical thermometer is clipped in the method till the oxter continues to surface temperature and deep temperature balance.Because this method spended time, thereby proposed to be applied to formula now and come the prediction equilibrium point through the mode that surface temperature and deep temperature is reached the variations in temperature till the balance, and with this equilibrium point prediction method that is body temperature.But there is following problem:, because of the body of giving birth to body become the to grade mode that causes this variations in temperature is different, thereby precision is different because of giving birth to body, or till inferring completion, spends the time to a certain degree.
Relative therewith, the purpose of the electronic clinical thermometer of the 4th embodiment is, through utilizing the data of the body composition of measuring separately, comes to measure accurately at short notice deep body temperature.Below, carry out bright specifically with accompanying drawing.
(A) part of Figure 12 shows the axonometric chart of the outward appearance of electronic clinical thermometer 520, and (B) part of Figure 12 shows the key diagram of the conduction model of electronic clinical thermometer 520, and Figure 13 then shows the block diagram that biological information is obtained the system structure of system 500.
Shown in (A) part of Figure 12, in electronic clinical thermometer 520, main part is provided with display part 523 and operating portion 526, and front end is provided with temperature measuring portion 522.This electronic clinical thermometer 520 is measured the body temperature of user through the mode that temperature measuring portion 522 is clipped in the oxter or is placed on Sublingual etc.
Shown in figure 13, biological information is obtained system 500 and is made up of the server 150 that is connected with the Internet 515 through wired or wireless mode, user terminal 510 and the electronic clinical thermometer 520 that is connected with user terminal 510 through wired or wireless mode.
Owing in first embodiment, server 150 is illustrated, thereby same structural element is marked same Reference numeral and omits its detailed explanation.This server 150 receives data through user terminal 510 from electronic clinical thermometer 520; And handle below carrying out; These processing are meant following proper process etc.: with the processing of this data storage to storage part 155; Carry out calculation process based on these data and the data that are stored in the storage part 155, parameter etc. is sent to the processing of electronic clinical thermometer 520.
In addition, server 150 also is connected with the weight and body composition meter of in first, second embodiment, explaining 100 through the Internet 515, and will be stored to storage part 155 with user information from the body compositional data that weight and body composition meter 100 receives.Server 150 is also carried out necessary datas such as from the body compositional data of this storage, obtaining subcutaneous fat thickness and is sent it to the processing of electronic clinical thermometer 520.
This user terminal 510 is obtained data through Department of Communication Force 501 from electronic clinical thermometer 520, and has the function that these data is sent to server 150, also has the function that the data that receive from server 150 is sent to electronic clinical thermometer 520.
Personal digital assistant), proper device such as portable information processing device such as mobile phone constitute in addition, this user terminal 510 is not limited to personal computer, can be by PDA (Personal Digital Assistants:.
Electronic clinical thermometer 520 has Department of Communication Force 521, temperature measuring portion 522, display part 523, control part 524, power supply connecting portion 525, storage part 527 and power supply unit 528.
USB), " Bluetooth " appropriate communication interfaces such as (bluetooth, registered trade marks) of radio communication constitutes Department of Communication Force 521 can be by the USB of wired connection (Universal Serial Bus:.
Then, the mode of in the 4th embodiment, utilizing relevant with conduction model described.
At first, if detected temperature is set at T (t) when electronic clinical thermometer 520 is fixed on the location (oxter etc.) of human body, then can be like following formula 7 reduced representation time function.
(formula 7)
T(t)＝(T
0-T
1)exp
(-t/τ)
T wherein
0Be heat source temperature, T
1Be the probe initial temperature,
τ is the thermal time constant of probe thermal capacity/location.
If T0 is found the solution above-mentioned formula 7, then obtain following formula 8.
(formula 8)
T
0＝T
1+T(t)/exp
(-t/τ)
In this formula 8, can utilize electronic clinical thermometer 520 to measure T
1And T (t), can probe thermal capacity be utilized as known product attribute.Therefore, as long as know the thermal time constant of location, just can calculate heat source temperature (being deep body temperature) in theory.
Wherein, the thermal time constant of location is the parameter that individual variation appears in physiologic information (for example distribution situation of the fat of location or muscle etc.) according to the individual.
At this, shown in conduction model of Figure 12 (B) part, the model of the heat conduction till simply from the deep of human body to electronic clinical thermometer 520 is considered.That is, towards downstream, at first, the thermal conductivity of muscle parts is set at k from heat source temperature T0
1And be t with its thickness setting
1, then, the thermal conductivity of fats portion is set at k
2And be t with its thickness setting
2, then, the thermal capacity of popping one's head in is set at C
1, the formula 9 below then setting up.
(formula 9)
τ＝1/(C
1·(k
1·t
1+k
2·t
2))
Because compare the thermal conductivity of fats portion with the thermal conductivity of muscle parts very big, thereby can think τ and (k
2T
2) have a very strong relatedness.
At this, if think k
2(thermal conductivity of fats portion) is fixed value, as long as then know t
2(thickness of fats portion) just can be inferred τ experimentally, and calculates heat source temperature (deep temperature) at short notice accurately.
Therefore, in this embodiment, for example utilize the thickness of the subcutaneous fat of weight and body composition meter 100 oxters such as instrumentation such as equipment such as grade, and will measure the storage part 527 that the result is stored to electronic clinical thermometer 520.And when this user was measured body temperature, body temperature mensuration program should be measured the result and utilize as the body temperature calculating parameter.
The flow chart of the action that the body temperature that the control part 524 that Figure 14 shows electronic clinical thermometer 520 moves according to body temperature mensuration program is measured.Before carrying out this action, user utilizes subcutaneous fat thick the be stored to electronic clinical thermometer 520 of appropriate method with oneself.As long as the method below utilizing is carried out the processing of this storage; Appropriate method below these methods for example are meant etc.: connect electronic clinical thermometer 520 and user terminal 510; The subcutaneous fat of obtaining user from server 150 through the screen operation of user terminal 510 is thick; And be written in the storage part 527 of electronic clinical thermometer 520, perhaps the operation of the operating portion 526 through electronic clinical thermometer 520 is manually imported.
If the beginning body temperature such as operation through operating portion 526 are measured, whether store subcutaneous fat thickness data (step S502) in the then initial temperature (step S501) of control part 524 detected temperatures determination parts 522, and the judgement storage part 527.Can be set in the subcutaneous fat thickness data of this reference with following establishing method; These establishing methods are meant following suitable establishing method etc.: for example store the exclusive data that subcutaneous fat thickness data are used as the regular user, perhaps make user select to use the subcutaneous fat thickness data of selected user through operating portion 526.
(step S502: " being ") under the subcutaneous fat thickness data conditions arranged, and control part 524 is obtained subcutaneous fat thickness data (step S503) from storage part 527, and uses and this subcutaneous fat thickness corresponding parameter (step S504).Can obtain this parameter with following method, these methods are meant following appropriate method etc.: calculate in advance according to the subcutaneous fat thickness data, perhaps come to calculate according to the subcutaneous fat thickness data at every turn.
Do not having (step S502: " denying ") under the subcutaneous fat thickness data conditions, control part 524 is used general parameter (step S505).
Like above explanation; Having the temperature measurement unit (temperature measuring portion 522) that is used to measure living temperature is used as biological information and obtains unitary electronic clinical thermometer (electronic clinical thermometer 520) and constitute; Obtain unit (control part 524 of execution in step S503) as the related biological information of the input block of giving birth to body constituent information and be used to obtain the subcutaneous fat information (subcutaneous fat thick) relevant with the subcutaneous fat of user; Amending unit (control part 524 of execution in step S504) is used to obtain said subcutaneous fat information and parameter is modified to and this subcutaneous fat information corresponding parameter, and said output unit (display part 523) is exported the body temperature that calculates according to this revised parameter.
Thus, electronic clinical thermometer 520 can utilize with user individual's characteristic corresponding parameter and calculate deep body temperature.That is, because for the thick user of the subcutaneous fat user thin with subcutaneous fat, the mode of surface temperature and variations in temperature till deep temperature reaches balance is different, thereby can produce evaluated error as if utilizing identical parameter to calculate then.But,, can avoid this evaluated error and measure deep body temperature more accurately through utilizing the subcutaneous fat thickness corresponding parameter with user.
In addition, owing to utilized and the very large fats portion corresponding parameter of thermal conductivity ratio muscle parts, thereby can play a big part to improving the mensuration precision.
Corresponding relation between structure of the present invention and the above-mentioned embodiment is following:
Other devices of the present invention are corresponding with the MRI10 of embodiment;
Below likewise,
Select picture to have or not measured data picture 21 corresponding with inquiry;
Selected cell has or not the selector button 33 of measured data picture 21 corresponding with inquiry;
Display unit measures with the unique individual that display frame 40A is corresponding as a result;
Body component measuring device and biological information display device are corresponding with weight and body composition meter 100;
The biological information determinator is corresponding with weight and body composition meter 100 or electronic clinical thermometer 520;
Input block is corresponding with Department of Communication Force 111;
Memory element is corresponding with storage part 112;
Arithmetic element is corresponding with control part 118 or control part 524;
The control part 118 of determination unit and execution in step S8～S11 or the control part 524 of execution in step S506 are corresponding;
It is corresponding with the control part 118 of execution in step S23 that target information makes the unit;
The impedance measuring unit is corresponding with impedance detection portion 120;
The body weight determination unit is corresponding with load detection portion 133;
It is corresponding with the special-purpose arithmetic expression A of unique individual to give birth to the special-purpose correction compute mode of body;
Give birth to body classified body composition compute mode with general corresponding with arithmetic expression B;
Select step corresponding with step S3;
Determination step is corresponding with step S8;
Revising the compute mode decision handles corresponding with step S9;
It is corresponding with step S10 to give birth to body structure composition reflection calculation process;
Step display is corresponding with step S11;
General body composition calculation process is corresponding with step S12;
It is corresponding with the contact impedance of the area of section, span access location length, subcutaneous fat rate, interior fat rate and skin to give birth to body constituent information.
But the present invention is not limited in the structure of above-mentioned embodiment, can access a plurality of embodiments.
Availability in the industry
The present invention can be utilized in the field that utilizes body composition meter and weight and body composition meter etc. to be used to obtain the device of body composition.For example, can be utilized in following various fields etc.: health control in the family; Health control in medical facilities such as hospital; Health control in healthy facilities such as gymnasium; Health control in the functional recovery training facilities; Health control in the facilities such as kindergarten or old man sanitarium.
The explanation of Reference numeral
10?MRI
21 inquiries have or not the measured data picture
33 selector buttons
The 40A unique individual measures display frame as a result
100 weight and body composition meters
111 Department of Communication Forces
112 storage parts
118 control parts
120 impedance detection portions
133 load detection portions
The special-purpose arithmetic expression of A unique individual
B generally uses arithmetic expression
Claims (9)
1. biological information determinator,
Have:
Determination unit, it obtains the measured value information of living body,
Arithmetic element, it calculates biological information based on the measured value information that said determination unit is obtained;
This biological information determinator is characterised in that,
Have input block, the input of this input block utilize that other devices determine with the relevant living body constituent information of constituent of giving birth to body;
Said arithmetic element is carried out following the processing:
Give birth to body constituent reflection calculation process,, calculate said biological information based on said living body constituent information and said measured value information.
2. body component measuring device uses as the biological information determinator according to claim 1 record, and this body component measuring device is characterised in that,
With impedance or the body weight of said measured value information as living body;
With said biological information as the body composition.
3. according to the body component measuring device of claim 2 record, it is characterized in that,
Said arithmetic element is carried out following the processing:
The impedance of the said living body that determines based on said living body constituent information and in the specified time limit of the mensuration date and time of this life body constituent information is carried out the correction compute mode decision of obtaining the special-purpose correction compute mode of this life body and is handled;
Said living body constituent reflection computing utilizes said correction compute mode to carry out computing.
4. according to the body component measuring device of claim 3 record, it is characterized in that,
Have memory element, this memory element is used to store living body classified body composition compute mode, and this life body classified body composition compute mode is to classify according at least more than one the condition in height, age or the sex of giving birth to body;
Said arithmetic element; If can obtain said living body constituent information, then carry out said living body constituent reflection calculation process, if can not obtain said living body constituent reflection calculation process; Then obtain at least a above information in height, age or the sex of said living body; And carry out common body composition calculation process, in this common body composition calculation process, utilize and the corresponding said living body classified body composition compute mode of this information that obtains is calculated the body composition.
5. according to the body component measuring device of claim 4 record, it is characterized in that,
Also have the target information generation unit, this target information generation unit generates the target information relevant with the body composition based on said body composition information;
Said target information generation unit is revised said target information based on said living body constituent information.
6. according to the body component measuring device of claim 5 record, it is characterized in that,
Said arithmetic element changes based on measure the body composition of date and time till current from the mensuration date and time of said living body constituent information and this, changes and whether adopts said correction compute mode.
7. biological information assay method,
Have like lower unit, and measure biological information with this, these unit are:
Determination unit, it obtains the measured value information of living body,
Arithmetic element, it calculates biological information based on the measured value information that said determination unit is obtained;
This biological information assay method is characterised in that,
Through input block, allow that input utilizes other devices living body constituent information relevant with constituent said living body that determine;
Said arithmetic element is carried out following the processing:
Give birth to body constituent reflection calculation process, calculate said biological information based on said living body constituent information and said measured value information.
8. a biological information display packing is characterized in that,
Following steps:
Select step, show to be used to select whether to import the selection picture that utilizes the living body constituent information that other devices determine
Determination step is measured biological information
Step display shows whether utilized said living body constituent information with the biological information that determines.
9. a biological information display device is characterized in that,
Have:
Selected cell, its demonstration are used to select whether to import the selection picture of the living body constituent information of utilizing other device mensuration,
Determination unit, it measures biological information
Display unit, it shows whether utilized said living body constituent information with the biological information that determines.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2009-037299 | 2009-02-20 | ||
| JP2009037299 | 2009-02-20 | ||
| PCT/JP2010/052523 WO2010095709A1 (en) | 2009-02-20 | 2010-02-19 | Bioinformation measurement device, bioinformation measurement method, and body composition measurement device |
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| JP (1) | JPWO2010095709A1 (en) |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004337578A (en) * | 2003-04-25 | 2004-12-02 | Yamato Scale Co Ltd | Device, method and program for estimating health index |
| JP2006081601A (en) * | 2004-09-14 | 2006-03-30 | Tanita Corp | Body composition measuring device |
| CN101370428A (en) * | 2006-01-18 | 2009-02-18 | 欧姆龙健康医疗事业株式会社 | Body composition meter enabling the recognition of body parts used in computing components of the composition |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5579782A (en) * | 1993-08-12 | 1996-12-03 | Omron Corporation | Device to provide data as a guide to health management |
| RU2112416C1 (en) * | 1994-05-10 | 1998-06-10 | Научно-исследовательский институт вычислительной техники | Method for checking of tissue or organ condition after operation and device for its realization |
| EP1092387B1 (en) * | 1999-10-12 | 2004-07-21 | Tanita Corporation | Living body measuring apparatus |
| JP4727085B2 (en) | 2000-08-11 | 2011-07-20 | 東京エレクトロン株式会社 | Substrate processing apparatus and processing method |
| CN1256755C (en) | 2000-08-11 | 2006-05-17 | 东京毅力科创株式会社 | Device and method for processing substrate |
| JP4124649B2 (en) | 2000-11-29 | 2008-07-23 | 株式会社フィジオン | Body composition measuring method and body composition measuring device |
| JP2004329412A (en) * | 2003-05-02 | 2004-11-25 | Tanita Corp | Body composition measuring instrument |
| JP4646614B2 (en) * | 2004-03-01 | 2011-03-09 | 株式会社タニタ | Body composition measuring device |
| RU57578U1 (en) * | 2006-06-21 | 2006-10-27 | Аркадий Александрович Цветков | BIOIMPEDANCE ANALYZER |
-
2010
- 2010-02-19 CN CN201080008684.XA patent/CN102355855B/en active Active
- 2010-02-19 JP JP2011500657A patent/JPWO2010095709A1/en active Pending
- 2010-02-19 DE DE112010000672.5T patent/DE112010000672B4/en active Active
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- 2010-02-19 RU RU2011138404/14A patent/RU2532953C2/en active
-
2011
- 2011-08-09 US US13/206,160 patent/US8554316B2/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004337578A (en) * | 2003-04-25 | 2004-12-02 | Yamato Scale Co Ltd | Device, method and program for estimating health index |
| JP2006081601A (en) * | 2004-09-14 | 2006-03-30 | Tanita Corp | Body composition measuring device |
| CN101370428A (en) * | 2006-01-18 | 2009-02-18 | 欧姆龙健康医疗事业株式会社 | Body composition meter enabling the recognition of body parts used in computing components of the composition |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104619238A (en) * | 2012-09-25 | 2015-05-13 | 泰尔茂株式会社 | Biological information processing system, biological information measurement device, control device, method for controlling these, and storage medium |
| CN108433724A (en) * | 2017-02-16 | 2018-08-24 | 三星电子株式会社 | The method and wearable electronic of service are provided based on biometric information |
| CN112740332A (en) * | 2018-09-20 | 2021-04-30 | 旭化成株式会社 | Evaluation support system and evaluation support method for supporting evaluation of state of circulation system |
| CN112386231A (en) * | 2019-08-15 | 2021-02-23 | 安徽华米信息科技有限公司 | In-vivo temperature measuring method, device, equipment and storage medium |
Also Published As
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| RU2532953C2 (en) | 2014-11-20 |
| WO2010095709A1 (en) | 2010-08-26 |
| CN102355855B (en) | 2014-09-10 |
| DE112010000672T5 (en) | 2012-07-26 |
| DE112010000672B4 (en) | 2022-10-20 |
| US8554316B2 (en) | 2013-10-08 |
| US20120004570A1 (en) | 2012-01-05 |
| RU2011138404A (en) | 2013-03-27 |
| JPWO2010095709A1 (en) | 2012-08-30 |
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